Conventional processor fault tolerance based on time/space redundancy is robust but prohibitively expensive for commodity processors. This paper explores an unconventional approac...
The one-class and cost-sensitive support vector machines (SVMs) are state-of-the-art machine learning methods for estimating density level sets and solving weighted classificatio...
— Similarity joins have attracted significant interest, with applications in Geographical Information Systems, astronomy, marketing analyzes, and anomaly detection. However, all...
Brent Bryan, Frederick Eberhardt, Christos Falouts...
This paper describes our early experiences with a preproduction Cray XMT system that implements a scalable shared memory architecture with hardware support for multithreading. Unl...
Abstract—Active measurements on network paths provide endto-end network health status in terms of metrics such as bandwidth, delay, jitter and loss. Hence, they are increasingly ...